1 to 25 of 33 Semantic Kernel Jobs in London

frameworks.Build and deploy agentic AI solutions to automate workflows and enhance business processes.Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search technologies.Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Integrate AI solutions with … Models and AI services such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent.Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or similar.Experience developing and deploying cloud-native applications within Azure, AWS or GCP.Strong understanding of APIs, system integration ...

Agentic AI solutions through the full lifecycle from prototype to productionImplement and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDKCreate orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsBuild RAG pipelines with embeddings … into productionExpertise in LLMs, advanced RAG strategies, prompt engineering, and model evaluation approachesHands-on experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI-based integrationStrong Python development skills and knowledge of CI/ ...

deploy Generative AI and Agentic AI solutions from prototype to productionImplement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDKDevelop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long-running processesBuild … capabilities, including prompt design, structured outputs, tool calling and retrieval strategiesHands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel)Proven experience with RAG implementations, embeddings and vector database integrationsFamiliarity with stateful or long-running systems, including checkpointing and resumable workflowsCloud deployment experience ...

hands-on delivery of with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data … across distributed teams and external suppliers in enterprise delivery environments. Also Good to Have Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns. Experience with Microsoft Fabric, Power Platform governance, Azure DevOps, GitHub Enterprise ...

capability, for example:Azure: Azure OpenAI Service, Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety.AWS: Amazon Bedrock (including Knowledge Bases and Agents), Amazon SageMaker, Amazon Q, Amazon OpenSearch (vector), and Guardrails … Amazon Bedrock.Expertise in agentic frameworks and orchestration patterns (e.g. Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI or equivalents) and emerging standards such as the Model Context Protocol (MCP).Expertise in RAG and retrieval patterns using vector stores and embedding models, and in evaluation and guardrail frameworks ...

capability, for example: Azure: Azure OpenAI Service, Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety. AWS: Amazon Bedrock (including Knowledge Bases and Agents), Amazon SageMaker, Amazon Q, Amazon OpenSearch (vector … Guardrails for Amazon Bedrock. Expertise in agentic frameworks and orchestration patterns (e.g. Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI or equivalents) and emerging standards such as the Model Context Protocol (MCP).Expertise in RAG and retrieval patterns using vector stores and embedding models, and in evaluation ...

microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. … Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable ...

microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. … Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable ...

supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production … supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Technical Skills we valueFrontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility Backend: C#, ASP.NET ...

Lead the design, build, and operation of enterprise AI solutions on a Microsoft-first stack, including Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure services. • Remain highly hands-on: review architecture and code, build proofs of concept, troubleshoot complex issues, and guide implementation … Clear communication and strong collaboration in cross-functional, global delivery environments. Core Technology Stack AI platforms : Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, Prompt Flow Azure engineering : Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure ...

similar).Core technical skills should include Python and modern software engineering practices; experience with LLM and agent development frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or CrewAI; practical knowledge of RAG patterns, vector databases and embeddings; API design and integration using REST, event-driven ...

platforms, or workflow automation solutions. Practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI architectures, multi-agent systems, or semantic search and knowledge retrieval systems. Experience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Microsoft Copilot Studio ...

genuinely used, rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented ...

development techniques and tooling such as advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution design. • Agentic … commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases ...

Agentic Software Engineering solutions to automate and enhance SDLC processes. Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies. Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures. Experience ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems.Automation, Orchestration ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation ...

Generative AI and Agentic AI solutions from prototyping through productionDevelop and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, and Semantic KernelImplement orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsDesign and build RAG pipelines, including embeddings, chunking, hybrid search … applications in productionDeep understanding of LLM concepts, RAG patterns, prompt design, and evaluation methodologiesExperience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration strategies like planner/executor and tool callingKnowledge of MCP, A2A protocols, and OpenAPI-based integration methodsStrong experience with ...

track record of influencing engineering, product, infrastructure, and executive leadership teams across complex, matrixed organizations. Preferred QualificationsFamiliarity with AI ecosystems such as LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, or Anthropic, and/or vector stores such as Pinecone, Weaviate, OpenSearch, or PostgreSQL pgvector. Experience building ...

Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform ...

/LLMOps practices for deploying and monitoring AI systems in production Preferred Skills and Experience Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) and their production deployment Understanding of LLM governance: data privacy, guardrails, and responsible-use controls Experience guiding clients through legacy application ...

applications, with a focus on performance, governance and production deployment. Key Skills: Strong Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector … databases, embeddings and semantic search Event-driven architectures and REST APIs Docker, Kubernetes and AI microservices MLOps/LLMOps, AI governance and production troubleshooting Location: London, UK - hybrid working, with one day per week in the office. Contract: 12 months, with an excellent day rate available. For more ...

remote-first basis across the UK. You will lead the design and delivery of complex client engagements spanning agentic systems, retrieval architectures and semantic layers, working directly inside enterprise client teams.Client demand for AI-led transformation is accelerating and our client is expanding its permanent engineering team across … multi-agent architectures covering planning, delegation, tool use, memory, safety constraints and monitoringBuild retrieval and vector-based systems: embeddings, RAG, structured reasoning and semantic workflowsConnect agents to enterprise platforms through APIs, tools, MCP servers and connectorsApply ontologies or knowledge graphs where they improve reasoning and data alignmentPrompt engineering ...

domainRequirementsProven experience designing and deploying agentic AI and ML solutions in production environmentsDeep knowledge of AI/ML frameworks such as LangChain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch or Hugging FaceHands-on experience with cloud platforms, preferably Azure (AWS or GCP also considered)Background ...

Strong stakeholder communication, translating architecture into business outcomes for senior stakeholders Preferred Skills and Experience Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) and their production deployment Understanding of LLM governance: data privacy, guardrails, and responsible-use controls Track record defining and enforcing architectural ...